The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-03-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "593291 (up from 529591 yesterday: 12.03 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "27198 (up from 23970 yesterday: 13.47 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.58



In- Depth Country Wise Stats (With Atleast 100 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed TotalDeaths FatalityRate
US 101657 1581 1.56
Italy 86498 9134 10.56
China 81897 3296 4.02
Spain 65719 5138 7.82
Germany 50871 342 0.67
France 33402 1997 5.98
Iran 32332 2378 7.35
United Kingdom 14745 761 5.16
Switzerland 12928 231 1.79
Korea, South 9332 139 1.49
Netherlands 8647 547 6.33
Austria 7657 58 0.76
Belgium 7284 289 3.97
Turkey 5698 92 1.61
Canada 4682 54 1.15
Portugal 4268 76 1.78
Norway 3755 19 0.51
Brazil 3417 92 2.69
Australia 3143 13 0.41
Sweden 3069 105 3.42
Israel 3035 12 0.40
Czechia 2279 9 0.39
Denmark 2200 52 2.36
Malaysia 2161 26 1.20
Ireland 2121 22 1.04
Chile 1610 5 0.31
Luxembourg 1605 15 0.93
Ecuador 1595 36 2.26
Japan 1468 49 3.34
Poland 1389 16 1.15
Pakistan 1373 11 0.80
Romania 1292 26 2.01
South Africa 1170 1 0.09
Thailand 1136 5 0.44
Saudi Arabia 1104 3 0.27
Indonesia 1046 87 8.32
Finland 1041 7 0.67
Russia 1036 4 0.39
Greece 966 28 2.90
Iceland 890 2 0.22
India 887 20 2.25
Philippines 803 54 6.72
Singapore 732 2 0.27
Diamond Princess 712 10 1.40
Panama 674 9 1.34
Peru 635 11 1.73
Slovenia 632 9 1.42
Argentina 589 13 2.21
Croatia 586 3 0.51
Mexico 585 8 1.37
Dominican Republic 581 20 3.44
Estonia 575 1 0.17
Qatar 562 0 0.00
Colombia 539 6 1.11
Egypt 536 30 5.60
Bahrain 466 4 0.86
Iraq 458 40 8.73
Serbia 457 1 0.22
Algeria 409 26 6.36
United Arab Emirates 405 2 0.49
Lebanon 391 8 2.05
New Zealand 368 0 0.00
Lithuania 358 5 1.40
Morocco 345 23 6.67
Armenia 329 1 0.30
Ukraine 310 5 1.61
Hungary 300 10 3.33
Bulgaria 293 3 1.02
Latvia 280 0 0.00
Slovakia 269 0 0.00
Andorra 267 3 1.12
Taiwan* 267 2 0.75
Costa Rica 263 2 0.76
Uruguay 238 0 0.00
Bosnia and Herzegovina 237 4 1.69
Jordan 235 1 0.43
Tunisia 227 6 2.64
Kuwait 225 0 0.00
San Marino 223 21 9.42
North Macedonia 219 3 1.37
Moldova 199 2 1.01
Albania 186 8 4.30
Burkina Faso 180 9 5.00
Azerbaijan 165 3 1.82
Vietnam 163 0 0.00
Cyprus 162 5 3.09
Kazakhstan 150 1 0.67
Malta 139 0 0.00
Ghana 137 4 2.92
Oman 131 0 0.00
Senegal 119 0 0.00
Brunei 115 0 0.00
Afghanistan 110 4 3.64
Venezuela 107 1 0.93
Sri Lanka 106 0 0.00
Cote d’Ivoire 101 0 0.00

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed Deaths FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 44876 527 1.17 2306.83 27.09 1 in 433
New Jersey 8825 108 1.22 993.56 12.16 1 in 1006
California 4657 94 2.02 117.86 2.38 1 in 8484
Michigan 3634 92 2.53 363.88 9.21 1 in 2748
Washington 3477 157 4.52 456.61 20.62 1 in 2190
Massachusetts 3240 35 1.08 466.22 5.04 1 in 2145
Illinois 3024 34 1.12 238.64 2.68 1 in 4190
Florida 2900 35 1.21 135.02 1.63 1 in 7406
Louisiana 2744 119 4.34 590.26 25.60 1 in 1694
Pennsylvania 2345 22 0.94 183.17 1.72 1 in 5459
Georgia 2000 64 3.20 188.37 6.03 1 in 5309
Texas 1937 26 1.34 66.80 0.90 1 in 14969
Colorado 1433 27 1.88 248.84 4.69 1 in 4019
Tennessee 1318 6 0.46 192.88 0.88 1 in 5185
Connecticut 1291 27 2.09 362.10 7.57 1 in 2762
Ohio 1137 19 1.67 97.27 1.63 1 in 10281
Indiana 979 25 2.55 145.42 3.71 1 in 6877
Wisconsin 926 14 1.51 159.04 2.40 1 in 6288
North Carolina 887 4 0.45 84.57 0.38 1 in 11824
Maryland 775 5 0.65 128.19 0.83 1 in 7801
Missouri 666 9 1.35 108.51 1.47 1 in 9215
Arizona 665 13 1.95 87.33 1.71 1 in 11451
Virginia 607 10 1.65 71.11 1.17 1 in 14062
Alabama 587 4 0.68 119.72 0.82 1 in 8353
Mississippi 579 8 1.38 194.55 2.69 1 in 5140
South Carolina 542 13 2.40 105.27 2.52 1 in 9499
Nevada 536 10 1.87 174.02 3.25 1 in 5747
Utah 472 1 0.21 147.23 0.31 1 in 6792
Oregon 416 12 2.88 98.63 2.85 1 in 10139
Minnesota 396 4 1.01 70.22 0.71 1 in 14241
Arkansas 381 3 0.79 126.25 0.99 1 in 7921
Oklahoma 322 8 2.48 81.38 2.02 1 in 12289
Kentucky 301 7 2.33 67.37 1.57 1 in 14843
District of Columbia 271 3 1.11 383.99 4.25 1 in 2604
Iowa 235 3 1.28 74.48 0.95 1 in 13426
Kansas 206 4 1.94 70.71 1.37 1 in 14142
Idaho 205 3 1.46 114.39 1.67 1 in 8742
Rhode Island 203 0 0.00 191.62 0.00 1 in 5219
Vermont 184 10 5.43 294.88 16.03 1 in 3391
Maine 168 1 0.60 124.98 0.74 1 in 8001
Delaware 163 2 1.23 167.39 2.05 1 in 5974
New Hampshire 158 1 0.63 116.20 0.74 1 in 8606
New Mexico 136 1 0.74 64.86 0.48 1 in 15418
Montana 109 1 0.92 101.99 0.94 1 in 9805
Hawaii 106 0 0.00 74.87 0.00 1 in 13357
Nebraska 82 0 0.00 42.39 0.00 1 in 23590
Puerto Rico 79 3 3.80 24.74 0.94 1 in 40427
West Virginia 76 0 0.00 42.53 0.00 1 in 23515
Wyoming 70 0 0.00 120.95 0.00 1 in 8268
North Dakota 68 1 1.47 89.23 1.31 1 in 11207
Alaska 58 1 1.72 79.28 1.37 1 in 12613
South Dakota 58 1 1.72 65.56 1.13 1 in 15253
Guam 51 1 1.96 307.75 6.03 1 in 3249
Virgin Islands 19 0 0.00 NA NA 1 in NA
American Samoa 0 0 NaN 0.00 0.00 1 in Inf
Northern Mariana Islands 0 0 NaN 0.00 0.00 1 in Inf
Recovered 0 0 NaN NA NA 1 in NA

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region HospitalizedWithSymptoms IntensiveCare HomeIsolation ActiveCases Discharged_Healed Deceased Confirmations Swabs FatalityRate ConfirmationRate
Lombardia 11137 1292 11466 23895 8001 5402 37298 95860 14.48 38.91
Emilia Romagna 3461 308 5592 9361 960 1267 11588 47798 10.93 24.24
Veneto 1536 338 4774 6648 536 313 7497 83627 4.18 8.96
Piemonte 2852 431 3064 6347 176 569 7092 19705 8.02 35.99
Toscana 1053 274 1843 3170 103 177 3450 23746 5.13 14.53
Marche 979 162 1709 2850 10 336 3196 9060 10.51 35.28
Liguria 1023 157 880 2060 305 331 2696 7804 12.28 34.55
Lazio 992 126 895 2013 164 118 2295 24106 5.14 9.52
Campania 456 113 723 1292 64 98 1454 9613 6.74 15.13
P.A. Trento 341 66 757 1164 125 102 1391 4923 7.33 28.26
Puglia 530 82 624 1236 29 69 1334 10233 5.17 13.04
Friuli Venezia Giulia 222 57 748 1027 214 76 1317 11841 5.77 11.12
Sicilia 425 75 658 1158 53 39 1250 11079 3.12 11.28
Abruzzo 289 71 565 925 24 68 1017 6109 6.69 16.65
P.A. Bolzano 249 45 539 833 110 60 1003 8520 5.98 11.77
Umbria 149 46 629 824 39 21 884 6137 2.38 14.40
Sardegna 93 19 384 496 13 21 530 3801 3.96 13.94
Calabria 103 22 344 469 7 18 494 6901 3.64 7.16
Valle d’Aosta 91 24 298 413 2 37 452 1252 8.19 36.10
Basilicata 22 15 110 147 1 3 151 1254 1.99 12.04
Molise 26 9 51 86 14 9 109 710 8.26 15.35

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Quebec 2024 18 0.89
Ontario 994 18 1.81
British Columbia 725 14 1.93
Alberta 542 2 0.37
Newfoundland and Labrador 102 0 0.00
Saskatchewan 95 0 0.00
Nova Scotia 90 0 0.00
New Brunswick 45 0 0.00
Manitoba 39 1 2.56
Grand Princess 13 0 0.00
Prince Edward Island 9 0 0.00
Yukon 3 0 0.00
Northwest Territories 1 0 0.00
Diamond Princess 0 1 Inf
Recovered 0 0 NaN

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 67801 3174 4.68
Guangdong 1456 8 0.55
Henan 1275 22 1.73
Zhejiang 1247 1 0.08
Hunan 1018 4 0.39
Anhui 990 6 0.61
Jiangxi 936 1 0.11
Shandong 772 7 0.91
Jiangsu 641 0 0.00
Chongqing 578 6 1.04
Beijing 569 8 1.41
Sichuan 548 3 0.55
Hong Kong 519 4 0.77
Heilongjiang 484 13 2.69
Shanghai 468 5 1.07
Fujian 331 1 0.30
Hebei 319 6 1.88
Guangxi 254 2 0.79
Shaanxi 253 3 1.19
Yunnan 180 2 1.11
Hainan 168 6 3.57
Tianjin 155 3 1.94
Guizhou 146 2 1.37
Gansu 136 2 1.47
Shanxi 135 0 0.00
Liaoning 128 2 1.56
Jilin 95 1 1.05
Inner Mongolia 92 1 1.09
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 33 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 310.69 4.83 1 in 3219
Italy 1430.19 151.03 1 in 699
China 59.09 2.38 1 in 16924
Spain 1408.47 110.12 1 in 710
Germany 614.46 4.13 1 in 1627
France 498.61 29.81 1 in 2006
Iran 398.37 29.30 1 in 2510
United Kingdom 221.93 11.45 1 in 4506
Switzerland 1508.52 26.95 1 in 663
Korea, South 181.31 2.70 1 in 5515
Netherlands 503.32 31.84 1 in 1987
Austria 867.94 6.57 1 in 1152
Belgium 638.95 25.35 1 in 1565
Turkey 70.51 1.14 1 in 14182
Canada 124.55 1.44 1 in 8029
Portugal 414.77 7.39 1 in 2411
Norway 699.52 3.54 1 in 1430
Brazil 16.33 0.44 1 in 61253
Australia 127.76 0.53 1 in 7827
Sweden 303.26 10.38 1 in 3297

Data Sources: 1. Github Repos: CSSEGISandData and pcm-dpc